Robot Navigation and Map Construction Based on SLAM Technology
Zihan Li, Chao Fan, Weike Ding, Kun Qian
Abstract
SLAM (Simultaneous Localization and Mapping) technology plays a crucial role in the field of robotics, which realizes the autonomous navigation of robots in unknown environments through real-time positioning, mapping and path planning. This paper first introduces the basic principle and workflow of SLAM technology, including sensor data fusion, state estimation and map construction. Then, by comparing and analyzing the map construction methods of traditional raster map and visual SLAM technology, the advantages and disadvantages of different map representations are shown. Finally, combined with the practical application scenario, the wide application of SLAM technology in logistics, intelligent manufacturing and other fields is discussed, and its future development direction is prospected.